医学
类癌综合征
神经内分泌肿瘤
分级(工程)
自然史
疾病
临床试验
生长抑素
内科学
肿瘤科
重症监护医学
生物信息学
病理
土木工程
工程类
生物
作者
Irvin M. Modlin,Kjell Öberg,Daniel C. Chung,Robert T. Jensen,Wouter W. de Herder,Rajesh V. Thakker,Martyn Caplin,Gianfranco Delle Fave,Gregory Kaltsas,Eric P. Krenning,Steven F. Moss,Ola Nilsson,Guido Rindi,Ramón Salazar,Philippe Ruszniewski,Anders Sundin
标识
DOI:10.1016/s1470-2045(07)70410-2
摘要
Gastroenteropancreatic (GEP) neuroendocrine tumours (NETs) are fairly rare neoplasms that present many clinical challenges. They secrete peptides and neuroamines that cause distinct clinical syndromes, including carcinoid syndrome. However, many are clinically silent until late presentation with mass effects. Investigation and management should be highly individualised for a patient, taking into consideration the likely natural history of the tumour and general health of the patient. Management strategies include surgery for cure (which is achieved rarely) or for cytoreduction, radiological intervention (by chemoembolisation and radiofrequency ablation), chemotherapy, and somatostatin analogues to control symptoms that result from release of peptides and neuroamines. New biological agents and somatostatin-tagged radionuclides are under investigation. The complexity, heterogeneity, and rarity of GEP NETs have contributed to a paucity of relevant randomised trials and little or no survival increase over the past 30 years. To improve outcome from GEP NETs, a better understanding of their biology is needed, with emphasis on molecular genetics and disease modeling. More-reliable serum markers, better tumour localisation and identification of small lesions, and histological grading systems and classifications with prognostic application are needed. Comparison between treatments is currently very difficult. Progress is unlikely to occur without development of centers of excellence, with dedicated combined clinical teams to coordinate multicentre studies, maintain clinical and tissue databases, and refine molecularly targeted therapeutics.
科研通智能强力驱动
Strongly Powered by AbleSci AI